IHR6 Class Reference

multi-objective problem IHR6. More...

#include <MultiObjectiveFunctions.h>

Inheritance diagram for IHR6:

ObjectiveFunctionVS< double > ObjectiveFunctionT< T * > ObjectiveFunction

List of all members.

Public Member Functions

 IHR6 (unsigned d=10)
 Constructor.
 ~IHR6 ()
 Destructor.
unsigned int objectives () const
 return the number of objectives to optimize
void result (double *const &point, std::vector< double > &value)
bool ProposeStartingPoint (double *&point) const
bool utopianFitness (std::vector< double > &value) const
 If possible, this method returns (a bound on) the best possible fitness.
bool nadirFitness (std::vector< double > &value) const
 If possible, this method returns (a bound on) the worst possible fitness.
void initRandomRotation ()
 Create a random orthogonal transformation.

Protected Member Functions

void transform (const double *in, std::vector< double > &out) const
 transform in, resulting in out
double h (double x, double n)
double hf (double x, double y0, double ymax)
double hg (double x)

Protected Attributes

Matrix m_Transformation
 transformation matrix


Detailed Description

multi-objective problem IHR6.

The rotated variant of the ZDT6 problem:

\[ f_{1}(x)= 1-exp(-4|y_1|)sin^6(6 \pi y_1) \]

\[ f_{2}(x)=g(y)h_f( 1 - (\frac{y_1}{ g(y) })^2) \]

\[ g(y)=1+9 [\frac{\sum_{i=2}^{n}h_g(y_i)}{(n-1)}]^{0.25} \]

with auxiliary functions:

\[ h_f: \mathbf{R} \rightarrow \mathbf{R}, x \rightarrow \left\{\begin{array}{ll} x, & \mbox{if } |y_1|\leq y_{max} \\ 1+|y_1|, & \mbox{ otherwise} \end{array}\right. \]

\[ h_g: \mathbf{R} \rightarrow \mathbf{R}_{\leq 0}, x \rightarrow \frac{x^2}{|x|+0.1} \]

where $ x\in [0,1]^n $ , y is defined by $ y= Ox $ where O is an arbitrary orthogonal rotation matrix and $ y_{max} = 1/max_j (|o_{1j}|)$ and usually $ n=10 $

Definition at line 651 of file MultiObjectiveFunctions.h.


Constructor & Destructor Documentation

IHR6::IHR6 ( unsigned  d = 10  ) 

Constructor.

Definition at line 1005 of file MultiObjectiveFunctions.cpp.

References initRandomRotation(), and ObjectiveFunction::m_name.

IHR6::~IHR6 (  ) 

Destructor.

Definition at line 1011 of file MultiObjectiveFunctions.cpp.

References ObjectiveFunctionT< T * >::constrainthandler.


Member Function Documentation

double IHR6::h ( double  x,
double  n 
) [protected]

double IHR6::hf ( double  x,
double  y0,
double  ymax 
) [protected]

Definition at line 1114 of file MultiObjectiveFunctions.cpp.

Referenced by result().

double IHR6::hg ( double  x  )  [protected]

Definition at line 1121 of file MultiObjectiveFunctions.cpp.

Referenced by result().

void IHR6::initRandomRotation (  ) 

Create a random orthogonal transformation.

Definition at line 1072 of file MultiObjectiveFunctions.cpp.

References ObjectiveFunctionVS< double >::m_dimension, and m_Transformation.

Referenced by IHR6().

bool IHR6::nadirFitness ( std::vector< double > &  value  )  const [virtual]

If possible, this method returns (a bound on) the worst possible fitness.

For single objective optimization this information is rarely of any use, while for multi objective optimization a so-called nadir point is important for the computation of standard quality indicators like the hypervolume.

Parameters:
fitness component wise worst fitness
Returns:
true if a nadir point is known, false otherwise

Reimplemented from ObjectiveFunctionVS< double >.

Definition at line 1064 of file MultiObjectiveFunctions.cpp.

unsigned int IHR6::objectives (  )  const [virtual]

return the number of objectives to optimize

Implements ObjectiveFunction.

Definition at line 1018 of file MultiObjectiveFunctions.cpp.

bool IHR6::ProposeStartingPoint ( double *&  point  )  const

void IHR6::result ( double *const &  point,
std::vector< double > &  value 
)

void IHR6::transform ( const double *  in,
std::vector< double > &  out 
) const [protected]

transform in, resulting in out

Definition at line 1102 of file MultiObjectiveFunctions.cpp.

References ObjectiveFunctionVS< double >::m_dimension, and m_Transformation.

Referenced by result().

bool IHR6::utopianFitness ( std::vector< double > &  value  )  const [virtual]

If possible, this method returns (a bound on) the best possible fitness.

For the single objective case the function should return the fitness in the global optimum. For the multi objective case this function should return a utopian point.

Parameters:
fitness component wise utopian fitness
Returns:
true if an utopian point is known, false otherwise

Reimplemented from ObjectiveFunctionVS< double >.

Definition at line 1059 of file MultiObjectiveFunctions.cpp.


Member Data Documentation

Matrix IHR6::m_Transformation [protected]

transformation matrix

Definition at line 676 of file MultiObjectiveFunctions.h.

Referenced by initRandomRotation(), result(), and transform().


The documentation for this class was generated from the following files: